CONCLUSIONS: The trend of nonmedical use of methylphenidate has changed significantly due to the COVID-19 pandemic. Among the machine learning models using SNS data to analyze the adverse effects and nonmedical use of methylphenidate, the random
COVID-19, first detected in Wuhan, China, in December 2019, was declared a global pandemic by the WHO following the rapid spread of cases worldwide. The pandemic resulted in governments enforcing nationwide lockdowns, halting economic activities
Coronavirus disease 19 has been predominant in China then transmitted to different countries. The study aimed to evaluate the recent evidences from published papers of potential risks of COVID-19 contagion through gestation and if vertical
Noroviruses (NoVs) are a global concern, causing widespread outbreaks and sporadic acute gastroenteritis (AGE) cases across all age groups. Recent research has shed light on the emergence of novel recombinant strains of NoV in various countries. To
COVID-19 survivors often endorse persistent physical and neuropsychiatric problems following disease recovery, a phenomenon described as "long COVID." Research exploring long-COVID continues to evolve in large-scale studies but remains limited among
This paper investigates the impact of COVID-19 on mental health in the US using a large CDC dataset and a new method with generative AI for automatically generating Python code. The generated code was used to investigate and visualize the time-series
CONCLUSION: This is the first survey conducted among Italian oncologists to better understand the perception and attitudes towards the vaccination. It highlights the urgent issues of educating and training oncologists in vaccine-preventable diseases
CONCLUSION: Policies aimed at producing complete dentures and other prosthetics have been increasing. However, production remains far from the population's needs, and there is no equity in providing services. The covid-19 pandemic negatively impacted
The paper determined the initial impact of COVID-19 pandemic on reproductive, maternal, newborn, child and adolescent health (RMNCAH) services in Kenya. Hospital data for the first four months (March-June 2020) of the pandemic and the equivalent